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705,651 tools. Updated 2026-10-26 16:36

"Shelly" matching MCP tools:

  • Verify the operating version of the shelly-mcp. Run this health check to confirm your server's current status and release information.
    MIT
  • List all Shelly devices known to this server from configured and cloud accounts, returning ID, name, generation, model, and online state before status or control calls.
    MIT
  • Retrieve a Shelly device's configuration locally with credential fields masked as ***. Cloud-only devices return an actionable error.
    MIT
  • Discover Shelly devices on your LAN using mDNS and optionally merge results with your cloud account list. Set timeout_s for the browse window or use_cloud=false for LAN-only.
    MIT
  • Hollow out a solid body by removing selected planar faces as openings, returning removed faces and their Z positions for Fusion 360 CAD modeling.
    MIT
  • Execute ADB shell commands on Android devices with safety guards including timeout, output truncation, and summary previews.
    MIT
    Destructive

Matching MCP Servers

  • A
    license
    A
    quality
    A
    maintenance
    MCP server for the entire Shelly smart-home ecosystem, enabling local-first control, automation, and energy monitoring of Shelly devices with cloud fallback.
    47
    47 PyPI
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables read-only inspection of Shelly devices discovered through Home Assistant, providing status and redacted configuration without control or switching capabilities.
    MIT

Matching MCP Connectors

  • Execute allowlisted system commands with configurable working directory and timeout to directly interact with codebases and environments.
    MIT
  • Execute Python code with full system access for data processing, file operations, API calls, and system automation. Returns output and result, with persistent state across calls.
    MIT
  • Add a teacher note or erratum to a lesson, preserving original text. Use teacher_note for lessons in progress, erratum for completed lessons.
    AGPL 3.0
  • Run arbitrary Android commands via ADB, returning stdout/stderr. Use when dedicated tools don't cover the task.
    MIT
  • Execute JavaScript code in Node.js to manipulate JSON, use npm packages, and maintain persistent state across invocations.
    MIT
  • Split a video into multiple segments at specified timestamps. Provide input file and comma-separated cut points to generate separate video clips with optional re-encoding.
    MIT
  • Execute shell commands with full system access. Use for git, npm, pip, and any command-line task.
    MIT
  • Execute a shell pipeline securely by validating each stage against an allowlist, using subprocess chaining to avoid shell injection and unsafe commands.
    MIT
  • Executes remote shell commands in persistent SSH sessions, with automatic session management, smart wait times, and interrupt controls. Enables long-running remote operations for AI assistants.
    MIT
  • Convert audio or video input into a Whisper/STT-ready audio file by normalizing sample rate, channels, and removing silence for effective speech transcription.
    MIT
  • Create a mindmap seed (root+branch+detail) for a lesson or course and link it in one call, merging separate create and association REST operations.
    AGPL 3.0
  • Send mutating RPC commands to Shelly devices with required confirmation and audit logging; destructive operations need an extra data-loss acknowledgment.
    MIT
    Destructive
  • Runs a named Shelly scene sequentially, attempts every action, reports per-action results, and continues after failures so partial runs can be safely re-run.
    MIT
  • Creates a new ASS subtitle template file with Default, Title, and Note styles. Use it to initialize a valid ASS v4.00+ subtitle file.
    MIT